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SkiDev Inc. Quiz For Data Analyst

SkiDev Data Analyst Quiz – Unlock Opportunities!

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What is the primary advantage of using a normalized database? Faster query execution Minimizes data redundancy and ensures consistency Reduces the need for indexing Increases storage requirements

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In a linear regression model, what does the R² value represent? The correlation between independent and dependent variables The percentage of variance in the dependent variable explained by the independent variable The slope of the regression line The standard error of the model

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Which of the following techniques helps in handling multicollinearity in a regression model? Using a higher learning rate Removing one of the correlated variables Increasing the number of independent variables Adding more training data

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What is the key difference between INNER JOIN and LEFT JOIN in SQL? INNER JOIN returns only matching records, while LEFT JOIN includes all records from the left table LEFT JOIN is faster than INNER JOIN INNER JOIN includes all records from both tables LEFT JOIN removes duplicate records

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A company wants to segment customers based on their purchasing behavior. Which clustering algorithm is most suitable? Linear Regression K-Means Clustering Principal Component Analysis (PCA) Random Forest

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You are given a dataset with missing values. Which of the following methods is NOT a recommended approach? Removing rows with missing values Replacing missing values with the column mean Filling missing values with a random number Using predictive modeling to estimate missing values

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In time series forecasting, which model is best suited for capturing seasonal patterns? Linear Regression K-Means ARIMA with Seasonal Component (SARIMA) Principal Component Analysis

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A company wants to analyze customer churn. What type of machine learning problem is this? Clustering Classification Regression Reinforcement Learning

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You are working with a dataset containing 100,000 rows. What is the best way to quickly analyze trends without loading the entire dataset into memory? Use Pandas .head() function Use SQL aggregation functions like GROUP BY Load everything into a Pandas DataFrame Remove duplicate rows before analysis

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Which visualization technique is best suited for understanding the correlation between two numerical variables? Pie Chart Histogram Scatter Plot Heatmap

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You are given a dataset with a mix of structured and unstructured data (text, images, and numbers). Which of the following would be the best first step? Convert all data into a numeric format using one-hot encoding Separate structured and unstructured data, processing them differently Use a PCA transformation on all data types Apply a standard scaling technique to the entire dataset

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Your analysis shows that a company’s sales increase before a major competitor launches a new product. What is the best approach to validate this observation? Perform an A/B test by increasing prices before the next competitor launch Use a time series cross-validation to check seasonal effects Assume causation and update marketing strategies Increase advertising spend around competitor launch dates

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You have a highly imbalanced dataset (98% negative cases, 2% positive). Which metric would best evaluate your predictive model? Accuracy Precision-Recall AUC Mean Absolute Error (MAE) R-squared

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Your SQL query is taking too long to execute on a 10-million-row dataset. Which approach would likely optimize performance the most? Adding more columns to the SELECT clause Using indexes and partitioning Converting all text columns to VARCHAR Running multiple queries in parallel

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A recommendation system is suggesting irrelevant products to users. What would be the best next step? Add more randomization to the algorithm Analyze user engagement patterns and adjust the recommendation weights Increase the dataset size Reduce the number of features used in the model

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A logistic regression model is making biased predictions toward one class. What is the best way to address this? Use a different threshold for classification Reduce the size of the dataset Increase the number of independent variables Standardize all numeric features

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A dataset contains an ID column that is unique for each row. Should it be included as a feature in a machine learning model? Yes, it could provide useful information No, because it does not have any meaningful pattern Only if it is normalized Only if used in clustering

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Your data analysis reveals a sharp revenue drop for a business, but the usual business indicators (like website traffic) remain stable. What would you investigate first? Changes in payment processing or checkout errors Increase in customer acquisition costs Competitor pricing adjustments Decline in social media engagement

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You are running an experiment where two versions of a website are being tested. If the results are inconclusive, what should you do next? Increase the sample size Lower the confidence interval Pick the version with the highest revenue Run the test for a shorter duration

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Your analytics dashboard shows an increase in website traffic but no increase in conversions. What could be the most probable reason? An increase in bot traffic or irrelevant users A server issue slowing down response times A higher number of mobile users Better performance in search rankings

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Frequently asked questions

Q. Who should take the SkiDev Data Analyst Proficiency Quiz?

This quiz is designed for aspiring and experienced data analysts who want to assess their analytical skills, problem-solving abilities, and industry knowledge.

Q. What is corporate sponsorship in this test?What topics are covered in this quiz?

The quiz includes questions on data interpretation, SQL, Python for data analysis, statistics, business intelligence, and real-world data problem-solving.

Q. How difficult is the quiz?

The quiz ranges from moderate to advanced difficulty, challenging both beginners and experienced professionals in data analytics.

Q. How long does the quiz take to complete?

On average, the quiz takes around 20–30 minutes to complete, depending on your speed and familiarity with the topics.

Q. Will I receive a certificate or score report?Will I receive a certificate or score report?

After completing the quiz, you'll receive a detailed performance report and a personalized growth roadmap through a one-on-one counselling session with our experts.

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